Modeling by Object-Driven Linear Elemental Relations

A User’s Guide for MODLER©

Häftad, Engelska, 2013

AvH.J. Greenberg,H. J. Greenberg

2 029 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Inbunden

2 029 kr

Skickas inom 10-15 vardagar

Modeling by Object-Driven Linear Elemental Relations (MODLER) is a computer language for representing linear programming models, completely separate from instances defined by data realizations. It also includes representations of binary variables and logical constraints, which arise naturally in large-scale planning and operational decision support. The basic input to MODLER is a model file, and its basic output is a matrix file that is in a standard (MPS) format for most optimizers and for ANALYZE and RANDMOD. MODLER can also generate a syntax file for ANALYZE to enable automatic translation of activities and constraints into English for intelligent analysis support. The book is accompanied by a DOS version of MODLER on 3.5 inch diskettes and A Laboratory Manual for Teaching Linear Programming is available upon request.

Produktinformation

Utgivningsdatum2013-04-19
Mått155 x 235 x 10 mm
Vikt277 g
FormatHäftad
SpråkEngelska
SerieOperations Research/Computer Science Interfaces Series
Antal sidor163
FörlagSpringer-Verlag New York Inc.
ISBN9781461363880

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Företagsekonomi inom Ekonomi och Ledarskap
Optimering inom Naturvetenskap och teknik

Chapter1 Overview, Installation, and Help.- 1.1 What you have and how to begin.- 1.2 Quick installation for DOS environment.- 1.3 Alternative environments.- 1.4 Some interactive language conventions.- 1.5 On-line documentation.- Chapter2 Anatomy of a Linear Program.- 2.1 Algebraic form.- 2.2 Model syntax.- 2.3 Objects and relations.- Chapter3 Preliminaries.- 3.1 The sign-on and basic interactive conventions.- 3.2 Elementary models and query.- 3.3 Randomization by command.- Chapter4 Models and Instances.- 4.1 Some precepts.- 4.2 More examples.- 4.3 Data objects.- 4.4 Randomization options.- Chapter5 Special Structures.- 5.1 Binary variables and logical constraints.- 5.2 Dynamic models.- 5.3 Approximation of nonlinear functions.- 5.4 Elastic programming.- Chapter6 The SUM Expression.- 6.1 Simple examples.- 6.2 Index conditions.- 6.3 Data conditions.- Chapter7 Dependencies.- 7.1 Set maps.- 7.2 Implicit sets.- 7.3 Implicit tables.- 7.4 The SHOW command.- Chapter8 File Interfaces.- 8.1 Environment controls.- 8.2 Dictionaries, documents, help, and keyword files.- 8.3 Execution files.- 8.4 Model files.- 8.5 Data files.- 8.6 Matrix and packed files.- 8.7 Schema and syntax files.- 8.8 Explain files.- Chapter9 More Model Description.- 9.1 Term expressions.- 9.2 A blending model.- 9.3 The REPORT execution file.- 9.4 Attribute inheritance.- 9.5 Equation conditions.- 9.6 Use of set maps.- Chapter10 Model Management.- 10.1 Overview.- 10.2 A case study.- 10.3 Using directories to aid model formulation.